The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Lithium-ion battery packs take a major part of large-scale stationary energy storage systems. One challenge in reducing battery pack cost is to reduce pack size without compromising pack service performance and lifespan. Prognostic life model can be a powerful tool to handle the state of health (SOH) estimate and enable active life balancing strategy to reduce cell imbalance and extend pack life....
Predictive models of Li-ion battery lifetime must consider a multiplicity of electrochemical, thermal, and mechanical degradation modes experienced by batteries in application environments. To complicate matters, Li-ion batteries can experience different degradation trajectories that depend on storage and cycling history of the application environment. Rates of degradation are controlled by factors...
Temperature is one of the main factors that control the degradation in lithium ion batteries. Accurate knowledge and control of cell temperatures in a pack helps the battery management system to maximize cell utilization and ensure pack safety and service life. In a pack with arrays of cells, a cell's temperature is not only affected by its own thermal characteristics but also by its neighbors, the...
By using 10 groups of training data which were collected through testing a cellphone in order to find the overall functions in it, a size estimation model was built by using Mathematics, a tool to help implement a fitting method for the parameters in COCOMO model. By invoking the FindFit function and using the least square method, the parameters were fixed. With two groups of test data, the size estimation...
A combination forecasting method based on fuzzy logical system is presented in this paper. The main idea of this method is that the nonlinear combination forecasting function Phi(x) can be simulated by Takagi Sugeno fuzzy model. Not only the difficulty of constructing Phi(x) is reduced, but also the predicted precise is improved by the new combination forecasting method.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.